package com.mall.search.service.Impl;

import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.TypeReference;
import com.mall.common.to.es.SkuEsModel;
import com.mall.common.utils.R;
import com.mall.search.config.MallElasticSearchConfig;
import com.mall.search.constant.EsConstant;
import com.mall.search.feign.ProductFeignService;
import com.mall.search.service.MallSearchService;
import com.mall.search.vo.AttrResponseVo;
import com.mall.search.vo.BrandVo;
import com.mall.search.vo.SearchParam;
import com.mall.search.vo.SearchResult;
import org.apache.commons.lang.StringUtils;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.MultiBucketsAggregation;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceImpl implements MallSearchService {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private ProductFeignService productFeignService;

    @Override
    public SearchResult search(SearchParam param) {
        // 1、动态构建查询需要的DSL雨具
        SearchResult result = null;
        // 2、准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            // 2。1、执行检索请求
            SearchResponse response = client.search(searchRequest, MallElasticSearchConfig.COMMON_OPTIONS);
            // 2.2、分析响应数据封装
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        // 1、返回所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        // 遍历所有商品信息
        if (hits.getHits() != null) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                //判断是否按关键字检索，若是就显示高亮，否则不显示
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    //拿到高亮信息显示标题
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String skuTitleValue = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(skuTitleValue);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);
        // 2、当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        // 获取属性信息的聚合
        ParsedNested attrsAgg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attrIdAgg = attrsAgg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attrIdAgg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            // 1、得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            attrVo.setAttrId(attrId);
            // 2、得到属性的名字
            ParsedStringTerms attrNameAgg = bucket.getAggregations().get("attr_name_agg");
            String attrName = attrNameAgg.getBuckets().get(0).getKeyAsString();
            attrVo.setAttrName(attrName);
            // 3、得到属性的所有值
            ParsedStringTerms attrValueAgg = bucket.getAggregations().get("attr_value_agg");
            List<String> attrValues = attrValueAgg.getBuckets().stream()
                    .map(MultiBucketsAggregation.Bucket::getKeyAsString).collect(Collectors.toList());
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
        // 3、当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        // 获取到品牌的聚合
        ParsedLongTerms brandAgg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brandAgg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            // 1、得到品牌的id
            long brandId = bucket.getKeyAsNumber().longValue();
            brandVo.setBrandId(brandId);
            // 2、得到品牌的名字
            ParsedStringTerms brandNameAgg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brandNameAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brandName);
            // 3、得到品牌的图片
            ParsedStringTerms brandImgAgg = bucket.getAggregations().get("brand_img_agg");
            String brandImg = brandImgAgg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        // 4、当前所有商品涉及到的分类信息
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        ParsedLongTerms catalogAgg = response.getAggregations().get("catalog_agg");
        for (Terms.Bucket bucket : catalogAgg.getBuckets()) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            // 得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            // 得到分类名
            ParsedStringTerms catalogNameAgg = bucket.getAggregations().get("catalog_name_agg");
            String catalogName = null;
            if (!catalogNameAgg.getBuckets().isEmpty()) {
                catalogName = catalogNameAgg.getBuckets().get(0).getKeyAsString();
            }
            catalogVo.setCatalogName(catalogName);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        // 5、分类信息-页码
        result.setPageNum(param.getPageNum());
        // 6、分页信息-总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        // 7、分页信息-总页码
        int totalPages = (int) total % EsConstant.PRODUCT_PAGE_SIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGE_SIZE : ((int) total / EsConstant.PRODUCT_PAGE_SIZE + 1);
        result.setTotalPage(totalPages);
        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        // 8、构建面包屑导航
        if (param.getAttrs() != null && !param.getAttrs().isEmpty()) {
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                //1、分析每一个attrs传过来的参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.info(Long.parseLong(s[0]));
                // 用于前端判断是否显示属性
                result.getAttrIds().add(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[0]);
                }

                // 2、取消了这个面包屑以后，我们要跳转到哪个地方，将请求的地址url里面的当前置空
                // 拿到所有的查询条件，去掉当前
                String replace = replaceQueryString(param, attr, "attrs");
                navVo.setLink("http://search.mall.com/list.html?" + replace);

                return navVo;
            }).collect(Collectors.toList());
            result.setNavs(collect);
        }
        // 品牌，分类
        if (param.getBrandId() != null && !param.getBrandId().isEmpty()) {
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            // 远程查询所有品牌
            R r = productFeignService.infos(param.getBrandId());
            if (r.getCode() == 0) {
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuilder buffer = new StringBuilder();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getName()).append(";");
                    replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.mall.com/list.html?" + replace);
            }
            navs.add(navVo);
        }
        return result;
    }

    private static String replaceQueryString(SearchParam param, String value, String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode.replace("+", "%20");  //浏览器对空格的编码和Java不一样，差异化处理
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        return param.get_queryString().replace("&" + key + "=" + encode, "");
    }

    /**
     * 构建结果数据
     * 模糊匹配，过滤（按照属性、分类、品牌，价格区间，库存），完成排序、分页、高亮,聚合分析功能
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
        // 模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
        // 1. 构建bool-query
        BoolQueryBuilder boolQuery = new BoolQueryBuilder();
        // 1.1 bool-must
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        // 1.2 bool-filter
        // 1.2.1 catalog3Id 三级分类id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        // 1.2.2 brandId 品牌id查询
        if (null != param.getBrandId() && !param.getBrandId().isEmpty()) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        // 1.2.3 按照所有指定的属性进行查询
        if (param.getAttrs() != null && !param.getAttrs().isEmpty()) {
            for (String attr : param.getAttrs()) {
                // attrs=1.5寸:8寸&attrs=2_16G:8G
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
                String[] s = attr.split("_");
                String attrId = s[0];
                String[] attrValue = s[1].split(":");
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValue));
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }
        // 1.2.4 按照库存是否有进行查询
        boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 0));
        // 1.2.4 按照价格区间进行查询
        // 1_500/_500/500_
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        // 把所有条件进行封装
        searchSourceBuilder.query(boolQuery);
        // 2、排序、分页、高亮
        // 2.1、排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            searchSourceBuilder.sort(s[0], order);
        }
        // 2.2 分页
        searchSourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGE_SIZE);
        searchSourceBuilder.size(EsConstant.PRODUCT_PAGE_SIZE);
        // 2.3、高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            searchSourceBuilder.highlighter(builder);
        }
        // 3、聚合分析
        // 3.1、按照品牌进行聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        // 3.2、品牌的子聚合-品牌名聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        // 3.3、品牌的子聚合-品牌图片聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        searchSourceBuilder.aggregation(brand_agg);
        // 4、按照分类信息进行聚合 catalog_agg
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");
        catalog_agg.field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        searchSourceBuilder.aggregation(catalog_agg);
        // 5、按照属性信息进行聚合 attr_agg
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        // 5.1、按照属性ID进行聚合
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        attr_agg.subAggregation(attr_id_agg);
        // 5.2、在每个属性ID下，按照属性名进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        // 5.3、在每个属性ID下，按照属性值进行聚合
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        searchSourceBuilder.aggregation(attr_agg);
         String s = searchSourceBuilder.toString();
         System.out.println("构建的DSL" + s);
        return new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, searchSourceBuilder);
    }
}
